Innovation Tech Lead

Coca-Cola•Atlanta, GA

About The Position

The Senior Director, Innovation Technology Lead advances The Coca-Cola Company’s global digital innovation agenda by leading the engineering strategy, technical execution, and evolution of its innovation technology portfolio. The role translates business priorities into scalable digital products, AI-enabled capabilities, and enterprise platforms that support global growth and operational excellence. It partners across Product Leadership, Data, Technology, and business teams to deliver technical solutions and centralized innovation capabilities across global markets. Within Coca-Cola’s global Digital organization, the role drives engineering strategy and execution for AI-powered innovation capabilities, using large language models, machine learning, and modern data platforms to enhance innovation science, accelerate experimentation, and improve innovation outcomes. It leads teams and a portfolio of products and platforms; establishes engineering excellence across software and AI engineering, reliability, security, observability, and operating practices; and guides technical decisions, investment choices, and cross-team collaboration. The role also develops talent and promotes a high-performance engineering culture while ensuring that solutions are secure, scalable, resilient, and adaptable.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Demonstrated experience delivering AI-enabled products, platforms, or decision intelligence capabilities from concept through enterprise-scale deployment.
  • Deep understanding of modern data and AI engineering practices, including data pipeline architecture, MLOps frameworks, and CI/CD principles for ML and software components.
  • Proven ability to influence technical and investment decisions with senior business and technology leaders and translate complex technical concepts into clear business outcomes.
  • Experience building and scaling shared platforms, services, or technical capabilities that support multiple products, teams, or business functions.
  • At least 10 years of experience in software engineering, data engineering, or technical leadership within enterprise-scale digital environments.
  • Proven capability in designing and operationalizing cloud-native architectures in Azure or other major platforms such as AWS or GCP.
  • Proficiency in Python and familiarity with application development models including React, REST or GraphQL APIs, and microservices architecture.
  • Familiarity with secure and compliant deployment frameworks for multi-market data and application environments.
  • Currently authorized to work in the United States on a full-time basis and must not require Coca-Cola sponsorship to continue working legally in the United States.

Nice To Haves

  • Experience supporting technology solutions in consumer products, retail, or marketing analytics ecosystems.
  • Practical knowledge of region-specific data governance and permissioning in global technology environments.
  • Background integrating AI-enabled components into scalable enterprise platforms aligned with commercial product strategies.

Responsibilities

  • Own the technology strategy for Coca-Cola’s innovation agenda, including AI-powered products, decision intelligence capabilities, experimentation platforms, and emerging technology investments.
  • Lead engineering teams responsible for building, operating, and scaling innovation products and shared capabilities.
  • Foster a high-performance engineering culture through coaching, talent development, technical leadership, and continuous learning.
  • Manage relationships with critical technology partners to accelerate innovation outcomes.
  • Partner with Product, Data, and Business leaders to translate innovation priorities into secure, scalable products and platforms, guide technical decisions, and deliver centralized innovation capabilities across global markets.
  • Advance modern software engineering, AI engineering, platform reliability, security, observability, and operating practices.
  • Use technical metrics, insights, and feedback loops to measure and improve developer experience and system efficiency.
  • Lead delivery across a portfolio of innovation products and platforms, partnering with product management to align technology investments with business and product priorities.
  • Guide technical tradeoffs, manage cross-team dependencies, and ensure solutions are secure by design, scalable, resilient, and adaptable.
  • Strengthen collaboration across Product, Engineering, Data, Security, Architecture, and Innovation business teams, supporting shared accountability, knowledge exchange, and enterprise adoption and scaling of innovation capabilities.

Benefits

  • Access to advanced technology environments and professional development focused on cloud, data, and machine learning innovation.
  • Opportunities to influence enterprise technology integration that advances consumer connection and business agility worldwide.
  • Support for continuous learning, collaboration, and experimentation in a global setting.
  • A full range of medical, financial, and/or other benefits, dependent on the position.
  • Relocation provided.
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